17 results found
    1. Computational and Systems Biology
    2. Neuroscience

    Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires

    Jack Goffinet et al.
    Modern machine learning methods offer new techniques for analyzing complex vocal behavior like ultrasonic mouse calls and birdsong.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Deep generative models for T cell receptor protein sequences

    Kristian Davidsen et al.
    Deep learning improves estimation of T cell receptor cohort frequencies and learns the rules of VDJ recombination, potentially making it helpful for vaccine design.
    1. Neuroscience

    Single-cell transcriptomic evidence for dense intracortical neuropeptide networks

    Stephen J Smith et al.
    Single-cell mRNA sequencing data from mouse neocortex expose evidence for peptidergic neuromodulation networks that locally interconnect every cortical neuron.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Unified single-cell analysis of testis gene regulation and pathology in five mouse strains

    Min Jung et al.
    A statistical method for summarizing single-cell gene expression data identifies normal and disease-specific transcriptional programs from an atlas of 57,600 cells.
    1. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    1. Computational and Systems Biology
    2. Neuroscience

    A functional model of adult dentate gyrus neurogenesis

    Olivia Gozel, Wulfram Gerstner
    The GABA input switching from excitatory to inhibitory during maturation of adult-born dentate granule cells is crucial for their integration into the preexisting circuit.
    1. Neuroscience

    Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

    Alexander Fengler et al.
    A novel method and software provides researchers with the capability to rapidly, flexibly, and robustly perform Bayesian parameter estimation of theoretically meaningful models in cognitive neuroscience that were heretofore intractable.
    1. Neuroscience

    Motor cortex signals for each arm are mixed across hemispheres and neurons yet partitioned within the population response

    Katherine Cora Ames, Mark M Churchland
    Neurons in motor cortex contain information about each arm, but these signals are separated into different dimensions, allowing separate control of each arm.
    1. Neuroscience

    Common cell type nomenclature for the mammalian brain

    Jeremy A Miller et al.
    A new nomenclature convention for mammalian cell types utilizing shared taxonomies and quantitative cell features is applied to high-quality, open data from the mouse and human brain.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq

    Dylan Kotliar et al.
    A novel algorithm, consensus non-negative matrix factorization (cNMF), accurately identifies gene expression programs underlying cell-type identity and cellular activities from single-cell RNA-Seq data.

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